Masaaki Kosaka
- Hematology top 2%
- Multiple Myeloma Research and Treatments 18
- Acute Myeloid Leukemia Research 7
- Immunology top 5%
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 6
- Virology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 9
- Oncology top 5%
-
- Monoclonal and Polyclonal Antibodies Research 14
-
- Glycosylation and Glycoproteins Research 9
-
- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Shuji OzakiToshio MatsumotoMasahiro AbeHiroshi KamiishiShiro SaitoYasuo KoishiharaShingo WakatsukiMakoto Takishita
- Cited by
- HematologyImmunologyVirology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masaaki Kosaka
93 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Hematology 575
- Immunology 496
- Virology 101
- Genetics 206
- Oncology 466
Countries citing papers authored by Masaaki Kosaka
This map shows the geographic impact of Masaaki Kosaka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masaaki Kosaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Kosaka more than expected).
Fields of papers citing papers by Masaaki Kosaka
This network shows the impact of papers produced by Masaaki Kosaka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masaaki Kosaka. The network helps show where Masaaki Kosaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaaki Kosaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2010 | 5 | |
| 4 | 2010 | 7 | |
| 5 | 2009 | 27 | |
| 6 | 2008 | 0 | |
| 7 | 2006 | 12 | |
| 8 | 2004 | 35 | |
| 9 | 2003 | 20 | |
| 10 | 2001 | 4 | |
| 11 | 2000 | 1 | |
| 12 | 1998 | 10 | |
| 13 | Localization and imaging of human plasmacytoma xenografts in severe combined immunodeficiency mice by a new murine monoclonal antibody, anti-HM1.24. | 1996 | 4 |
| 14 | 1995 | 6 | |
| 15 | 1994 | 52 | |
| 16 | 1992 | 10 | |
| 17 | 1992 | 13 | |
| 18 | 1991 | 16 | |
| 19 | 1989 | 5 | |
| 20 | 1989 | 40 |
About Masaaki Kosaka
Masaaki Kosaka is a scholar working on Hematology, Genetics and Immunology, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Chronic Lymphocytic Leukemia Research (9 papers), Glycosylation and Glycoproteins Research (9 papers), Acute Myeloid Leukemia Research (7 papers), Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Hematology (575 citations), Immunology (496 citations) and Virology (101 citations). Masaaki Kosaka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shuji Ozaki, Toshio Matsumoto, Masahiro Abe, Hiroshi Kamiishi, Shiro Saito, Yasuo Koishihara, Shingo Wakatsuki, Makoto Takishita, Yuzuru Eto and Shigeto Kawai. Their work appears in journals such as Blood, Cancer and Clinical Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.